Search Results - (( java application mining algorithm ) OR ( parameters variation scheduling algorithm ))

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  1. 1
    Direct approach for mining association rules from structured XML data

    Direct approach for mining association rules from structured XML data by Abazeed, Ashraf Riad

    Published 2012
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  2. 2
    Separator Database and SPM Tree Framework for Mining Sequential Patterns Using Prefixspan with Pseudoprojection

    Separator Database and SPM Tree Framework for Mining Sequential Patterns Using Prefixspan with Pseudoprojection by Saputra , Dhany, Rambli, Dayang R.A., Foong, Oi Mean

    Published 2008
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  3. 3
    Temperature control using PID gain scheduling method for glycerin bleaching process: article / Riduan Suluhi

    Temperature control using PID gain scheduling method for glycerin bleaching process: article / Riduan Suluhi by Suluhi, Riduan

    “…The PID controller is by far the most common control algorithm. Most feed-back loops are controlled by this algorithm or minor variation of it. …”
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  4. 4
    Temperature control using PID gain scheduling method for glycerin bleaching process / Riduan Suluhi

    Temperature control using PID gain scheduling method for glycerin bleaching process / Riduan Suluhi by Suluhi, Riduan

    Published 2011
    “…The PID controller is by far the most common control algorithm. Most feed-back loops are controlled by this algorithm or minor variation of it. …”
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  5. 5
    Study and Implementation of Data Mining in Urban Gardening

    Study and Implementation of Data Mining in Urban Gardening by Mohana, Muniandy, Lee, Eu Vern

    Published 2019
    “…Attached sensors generate data and send these data to the Java Servlet application through a WIFI module. These data are processed and stored in appropriate formats in a MySQL server database. …”
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  6. 6
    Performance comparison of least slack time based heuristics for job scheduling on computational grid

    Performance comparison of least slack time based heuristics for job scheduling on computational grid by Haruna, A.A., Zakaria, N.B., Jung, L.T., Pal, A.J., Naono, K., Okitsu, J.

    Published 2014
    “…The research reported here therefore is focused on the development of hybrids scheduling algorithms based on deadline and slack time parameters and its variations, using the concept of optimization techniques. …”
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  7. 7
    A multi-period scheduling of dynamic cellular manufacturing systems in the presence of cost uncertainty

    A multi-period scheduling of dynamic cellular manufacturing systems in the presence of cost uncertainty by Delgoshaei, Aidin, Ali, Ahad, Ariffin, Mohd Khairol Anuar, Gomes, Chandima

    Published 2016
    “…Cell-load variation is considered as a major shortcoming in cellular manufacturing systems. …”
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  8. 8
    Scheduling dynamic cellular manufacturing systems in the presence of cost uncertainty using heuristic method

    Scheduling dynamic cellular manufacturing systems in the presence of cost uncertainty using heuristic method by Delgoshaei, Aidin

    Published 2016
    “…Then, design of experiments is used to examine the sensitivity of the parameters of each solving algorithm using Taguchi method. …”
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  9. 9
    A new method for decreasing cell-load variation in dynamic cellular manufacturing systems

    A new method for decreasing cell-load variation in dynamic cellular manufacturing systems by Delgoshaei, Aidin, Mohd Ariffin, Mohd Khairol, Baharudin, Btht Hang Tuah, Leman, Zulkiflle

    Published 2016
    “…Cell load variation is considered a significant shortcoming in scheduling of cellular manufacturing systems. …”
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  10. 10
    Optimization and control of hydro generation scheduling using hybrid firefly algorithm and particle swarm optimization techniques

    Optimization and control of hydro generation scheduling using hybrid firefly algorithm and particle swarm optimization techniques by Hammid, Ali Thaeer

    Published 2018
    “…The fundamental requirement of hydropower system scheduling is to determine the optimal amount of generated powers for the hydro unit of the system in the scheduling horizon of 1 year or few years while satisfying the constraints of the hydroelectric system. …”
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  11. 11
    Mining Sequential Patterns Using I-PrefixSpan

    Mining Sequential Patterns Using I-PrefixSpan by Dhany , Saputra, Rambli Dayang, R.A., Foong, Oi Mean

    Published 2007
    “…Sequential pattern mining is a relatively new data-mining problem with many areas of application. …”
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  12. 12
    A web-based implementation of k-means algorithms

    A web-based implementation of k-means algorithms by Lee, Quan

    Published 2022
    “…This stinginess of proximity measures in data mining tools is stifling the performance of the algorithm. …”
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  13. 13
    Mining Sequential Patterns using I-PrefixSpan

    Mining Sequential Patterns using I-PrefixSpan by Saputra , Dhany, Dayang R.A. Rambli, Foong, Oi Mean

    Published 2008
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  14. 14
    Application of nature-inspired algorithms and artificial intelligence for optimal efficiency of horizontal axis wind turbine / Md. Rasel Sarkar

    Application of nature-inspired algorithms and artificial intelligence for optimal efficiency of horizontal axis wind turbine / Md. Rasel Sarkar by Md. Rasel, Sarkar

    Published 2019
    “…The proposed approach contains several benefits including simple implementation, tolerance of turbine parameter or several nonparametric uncertainties. Robust control of the generator output power with wind-speed variations can also be considered as a big advantage of this strategy.…”
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  15. 15
    Novel Architecture for Transactive Energy Management Systems with Various Market Clearing Strategies

    Novel Architecture for Transactive Energy Management Systems with Various Market Clearing Strategies by Arun, S.L., Bingi, K., Vijaya Priya, R., Jacob Raglend, I., Hanumantha Rao, B.

    Published 2023
    “…An optimal energy management algorithm is also proposed for time scheduling the operation of flexible loads and batteries, considering dynamics in end-users' behavior, variations in utility parameters, and the intermittent nature of renewable power generation. …”
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  16. 16
    Features selection for intrusion detection system using hybridize PSO-SVM

    Features selection for intrusion detection system using hybridize PSO-SVM by Tabaan, Alaa Abdulrahman

    Published 2016
    “…The simulation will be carried on WEKA tool, which allows us to call some data mining methods under JAVA environment. The proposed model will be tested and evaluated on both NSL-KDD and KDD-CUP 99 using several performance metrics.…”
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  17. 17
    A Review on energy consumption optimization techniques in IoT based smart building environments

    A Review on energy consumption optimization techniques in IoT based smart building environments by Shah, Abdul Salam, Nasir, Haidawati, Fayaz, Muhammad, Lajis, Adidah, Shah, Asadullah

    Published 2019
    “…Researchers have addressed the issue with the help of different optimization algorithms and variations in the parameters to reduce energy consumption. …”
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  18. 18
    Development of energy storage system for storing regenerative braking energy from train

    Development of energy storage system for storing regenerative braking energy from train by Faizal Zamani, Dollah

    Published 2022
    “…ETrax software is used for dynamic load flow simulations to obtain an accurate estimation of the energy recovery captured in the system in each operation mode by incorporating train headway interval variations, algorithm and the effects of train schedules on the operating mode.…”
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  19. 19
    A review on energy consumption optimization techniques in IoT based smart building environment

    A review on energy consumption optimization techniques in IoT based smart building environment by Shah, Abdul Salam, Mohamad Nasir, Haidawati, Fayyaz, Muhammad, Lajis, Adidah, Shah, Asadullah

    Published 2019
    “…Researchers have addressed the issue with the help of different optimization algorithm and variations in the parameters to reduce energy consumption. …”
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  20. 20
    Global Algorithms for Nonlinear Discrete Optimization and Discrete-Valued Optimal Control Problems

    Global Algorithms for Nonlinear Discrete Optimization and Discrete-Valued Optimal Control Problems by Woon, Siew Fang

    Published 2009
    “…Furthermore, variable switching times are known to cause problems in the implementation of any numerical algorithm due to the variable location of discontinuities in the dynamics. …”
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